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Measurement Models

AdditiveNoiseMeasurementModel — Represents measurement models of the form

$y_k = h_k(x_k) + v_k$

MeasurementModel — Represents measurement models of the form

$y_k = h_k(x_k, v_k)$

MixedNoiseMeasurementModel — Represents measurement models of the form

$y_k = h_k(x_k, v_k) + r_k$

LinearMeasurementModel — Represents measurement models of the form

$y_k = \mathbf{H}_k x_k + v_k$

Likelihood — Represents a likelihood function of the form

$f_k(y_k \,|\, x_k)$